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Author

Helmut Mayer

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#machine learning Preprint Sep 2026

Not All Confusion Is Equal: A Source-Aware Uncertainty Diagnosis for Fine-Grained Aircraft Detection

It is argued that confusion can be attributed to distinct, separable sources, each quantitatively measurable, turning a passive measurement into actionable guidance, and presents A^2E^2, a diagnostic tool that decomposes the sources of confusion along two axes.

Hai Huang, Helmut Mayer · 0 citations
Open access Jul 2026

Impact of Geometric Priors: Advanced Fine-grained Airplane Detection with Geometric Details in High-resolution Satellite Images

A geometry-aware classification that enhances oriented object detectors by integrating absolute measures and geometric features – fuselage length, wingspan, wing sweep angle, engine count, and fuselage width – in the form of priors into a Bayesian maximum a posteriori (MAP) estimation.

Tobias Traiser, Hai Huang, Helmut Mayer · 0 citations

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